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The latest News and Information on Software Testing and related technologies.

Designing error models in OpenAPI for agent-safe APIs | Swagger Studio

Poorly documented or inconsistent error models lead to brittle clients and unreliable automation. Whether you're building APIs for human developers or AI agents, proper error handling is crucial for automation and reliability. In this guided tutorial, SmartBear Solutions Engineer Rosemary Charnley demonstrates how to design robust error models in OpenAPI specifications using Swagger Studio.

New Forrester report reveals a 403% ROI for Tricentis SAP quality assurance solutions

Modern SAP customers often face competing demands. While navigating the routine complexities of an SAP system, they must also prepare for faster releases and looming S/4HANA deadlines, juggling the day-to-day with long-term innovation. Intelligent quality assurance helps SAP users balance these priorities.

Web Application Testing: Tools, Types, and Best Practices

You deploy a web app. Users open it. Something breaks. It could be a button that doesn't respond on Safari. A form that submits twice on slow connections. A page that loads fine for 10 users but crashes for 500. These aren't rare edge cases. They're what happens when testing gets skipped, rushed, or treated as a final step before launch. It's not one activity. It's a system of checks that runs across the entire development lifecycle, from the first commit to post-deployment monitoring.

Hot Sauce Releases - Real Device Access API

Future-Proof Your Mobile Testing with Unrestricted Device Access For years, Platform Engineering teams have faced a painful choice: build a fragile, expensive internal device lab to get full control, or use a rigid public cloud and lose access to the system internals. That choice ends now. Join us for the launch of the Real Device Access API, the first solution that treats mobile devices as Infrastructure-as-Code.

AI Test Automation vs. Manual Testing

Software bugs are rarely small problems; they often lead to costly disruptions for both users and development teams. When issues reach production, they can trigger support tickets, emergency fixes, and lost revenue. The real challenge in software testing isn’t that bugs exist; it’s that they’re often discovered too late. Without strong quality assurance, teams end up fixing problems after release when the cost and effort are much higher.

Introducing the Tricentis Agentic Quality Engineering Platform

The Tricentis Agentic Quality Engineering Platform, powered by the new Tricentis AI Workspace and team of AI agents, enables you to scale quality at the speed of AI with built-in governance & human oversight! This is a trusted, secure platform that is not a collection of disconnected tools, but a coordinated, intelligent system, designed to evolve as enterprises move toward fully autonomous. This platform is where you can build your agentic future!

The CIO's guide to agentic AI: A message from Kevin Thompson & David Colwell

How do you scale AI without losing control? Tricentis CEO, Kevin Thompson and VP of AI, David Colwell, discuss the strategic vision behind the industry’s first end-to-end enterprise agentic quality engineering platform. In this video, they address the core challenges facing today's CIOs: balancing the breakneck speed of AI development with the necessity of enterprise-grade governance.

WireMock vs MockServer vs Proxymock: Java Mocking in 2026

Your WireMock stubs are lying to you. They were accurate when someone wrote them six months ago, but the payment API added a metadata field in January, the inventory service switched from REST to gRPC in February, and nobody updated the stubs because the tests still pass. Meanwhile, production is breaking in ways your mocks will never catch. This is not a WireMock problem. It is a hand-written mock problem.

Intuitive Version Control for Designers and Artists

Introducing P4 One — version control that creators actually want to use. Give your art teams a visual, fast, and friction-free version control tool they can pick up and use without days of training. See true thumbnails for 2D and 3D files automatically—P4 One works with Unreal, Blender, Adobe and other creative file types you use every day. Track creative progress with a visual timeline of changes and versions, explore models in full detail with a built-in 3D viewer, and restore previous versions in a single click.

Introducing Agentic Performance Testing: Performance engineering meets AI speed

Thanks to AI, software today ships faster and with more complexity than ever before, and performance teams that rely on workflows built for a slower era are at risk of falling behind. Reliance on manual steps, niche expertise, and disconnected tools create bottlenecks that add risk to every release. Tricentis NeoLoad is leading this paradigm shift with AI-powered performance capabilities that close the gap and match the pace of validation to that of modern software delivery.